Optimize for AI or Traditional Search?
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
9 min
2 speakers
8 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the main topic discussed in this episode?
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Should you optimize for AI search or traditional search engines?
Here's today's host of the Voices of Search Podcast, Tyson Stockton. Casa.
If you hadn't to choose, would you optimize for AI or traditional search?
So I actually don't think this is mutually exclusive. Technical hygiene, brand mentions, backlinks, chunking, micro passages, you know, whatever a query fan out or topics or topic clustering. I think that these things work everywhere. So what I think the I don't think we can choose one or the other. I think what helps, you know, the uh LLM. or agents or uh any other bot site you, that probably helps humans find you too. So I don't think there's like a huge difference between the two. There are the, you know, minor differences that we're seeing. And I think it's an evolving thing too.
Why do core SEO fundamentals work for both LLMs and classic crawlers?
And I could be totally wrong about this.
You know, have you found yourself, which I guess for the record I totally agree with that? Cause it's like you have a lot of fundamental technologies that have been in use for a while and it's more of that last kind of interaction point. But like, have you found yourself shifting priorities as far as like you go through, you identify a hundred items that could be improved. Are you shifting focus or priorities of how you'd weight certain factors? Like is that maybe a simpler way of asking? Are you shifting strategy more from this?
I would say yeah, yes and no. So the yes piece is we're starting to include this type of thinking specific to optimizing for LLMs, or even better yet, thinking about the future beyond that, which is optimizing for agents, right? Or machines. So what pieces need to be in place for that to be something that we would be considered as a good source for in the future? So So I mean like a really concrete example would be, hey, this is something that makes me elevate client side and rendering on a website to a higher priority for an engineering team to switch to server-side rendering because LLMs and uh conversational search outside of Gemini or Google don't render JavaScript.
How are priorities shifting when targeting LLM-driven results?
So if that's part of our, you know, if our audience is on using LLMs and we think they're using LLMs to find uh our product or service or comps, then that's definitely a technical SEO item that I would normally have as a medium high or high to a very high, uh, if that's a priority for the business.
I like it. I'm particularly interested too in like As these other competitors start adding, crawling and indexing independently, so it's like ChatGBT's using Bing's index, perplexity, okay, you know, they have their own. But I feel like that's gonna be interesting of once the almost like collection becomes more unique or differentiated, then I feel like we're gonna see even more shifts in how you would, you know, focus. But I'm I'm with you on this one where it's like a lot of the fundamentals that we've been using are still in play and still valuable. It's more of of where and how you wanna compete for me that it's like evolving quickly. is the preciseness of where you want to put your efforts.
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What technical changes (e.g., server‑side rendering) boost visibility for AI agents?
None of those sound very good. Now do they?
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Chapters
8 chapters
1
What is the main topic discussed in this episode?
0:00–0:37
2
Should you optimize for AI search or traditional search engines?
0:37–1:32
3
Why do core SEO fundamentals work for both LLMs and classic crawlers?
1:32–3:01
4
How are priorities shifting when targeting LLM-driven results?
3:01–4:45
5
What technical changes (e.g., server‑side rendering) boost visibility for AI agents?
4:45–5:45
6
How does the rise of independent AI indexes affect SEO strategy?
5:45–7:00
7
What measurement gaps exist for tracking AI‑search performance?
7:00–8:14
8
What actionable steps can marketers take to future‑proof their SEO?
8:14–8:51